Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian Networks

Park, Sung Bae; Chung, Chun Kee; Gonzalez, Efrain; Yoo, Changwon

doi:10.11005/jbm.2018.25.4.251

Cited by 14 publications

(15 citation statements)

References 52 publications

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“…It is di cult to use only logistic regression analysis to describe correlations because of the inability to identify causal relationships between predictors. Therefore, BN analysis, which is graphic and intuitive to the clinician, may help to identify layered and causal correlations between predictors more clearly than a graphical model [13,20]. The BN structure showing the entire network between variables may help to identify the organic relationships with a target variable and the important factors to focus on, and to determine the best ways to improve the clinical outcome.…”

Section: Discussionmentioning

confidence: 99%

Probabilistic Graphical Model using Bayesian Networks for Predicting Clinical Outcome after Posterior Decompression in Patients with Cervical Spondylotic Myelopathy

Park¹,

Oh²,

Yoo³

et al. 2020

Preprint

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BackgroundThe objective of this study was to develop a probabilistic graphical model (PGM) to show the personalized prediction of clinical outcome in patients with cervical spondylotic myelopathy (CSM) with different clinical conditions after posterior decompression and to use the PGM to identify causal predictors of the outcome.MethodsWe included data from 59 patients who had undergone cervical posterior decompression for CSM. The candidate predictive parameters were age, sex, body mass index, trauma history, symptom duration, preoperative and last Japanese Orthopaedic Association (JOA) scores, gait impairment, claudication, bladder dysfunction, Nurick grade, American Spinal Injury Association (ASIA) grade, smoking, diabetes mellitus, cardiopulmonary disorders, hypertension, stroke, Parkinson disease, dementia, psychiatric disorders, arthritis, ossification of the posterior longitudinal ligament, cord signal change in T1-weighted images, postoperative kyphosis, and cord compression ratio. Statistical and Bayesian network analyses were used to create the PGM and identify predictive factors.ResultsIn multiple linear regression analysis, preoperative JOA score, presence of a psychiatric disorder, and ASIA grade were identified as significant factors associated with the last JOA score. Dementia, sex, preoperative JOA score, and gait impairment were causal factors in the PGM with 93.2% accuracy. Sex, dementia, and preoperative JOA score were direct causal factors related to the last JOA score. Being female, having dementia, and a low preoperative JOA score were significantly related to having a low last JOA score. The PGM showed that preoperative JOA score and sex did not affect the last JOA score in patients with dementia. The probability of having a high last JOA score was higher in men with a high preoperative JOA score than in women with the same preoperative state (74% vs. 2%, respectively).ConclusionsThe causal predictors of surgical outcome for CSM were sex, dementia, and preoperative JOA score. Use of the PGM with the Bayesian network may be useful personalized medicine tool for predicting the outcome for each patient with CSM.

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Section: Discussionmentioning

confidence: 99%

Probabilistic Graphical Model using Bayesian Networks for Predicting Clinical Outcome after Posterior Decompression in Patients with Cervical Spondylotic Myelopathy

Park¹,

Oh²,

Yoo³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…High ZFP36L2 expression also predicted shorter survival in PDAC, indicating that ZFP36L2 expression could be used as a prognostic marker in PDAC [62]. ZFP36L2 was also identified as a potential candidate for prediction of bone metastasis of breast cancer [33]. Finally, ZFP36L2 has been shown as a reoccurrence-associated gene in bladder cancer [20].…”

Section: Ttp Family Proteins As Potential Biomarkersmentioning

confidence: 95%

“…Expression of ZFP36L2, among other genes, significantly associated with the development of bone metastasis in breast cancer [33].…”

Section: Zfp36l2mentioning

confidence: 99%

The Tristetraprolin Family of RNA-Binding Proteins in Cancer: Progress and Future Prospects

Saini

Chen

Patial

2020

Cancers

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Post-transcriptional regulation of gene expression plays a key role in cellular proliferation, differentiation, migration, and apoptosis. Increasing evidence suggests dysregulated post-transcriptional gene expression as an important mechanism in the pathogenesis of cancer. The tristetraprolin family of RNA-binding proteins (RBPs), which include Zinc Finger Protein 36 (ZFP36; commonly referred to as tristetraprolin (TTP)), Zinc Finger Protein 36 like 1 (ZFP36L1), and Zinc Finger Protein 36 like 2 (ZFP36L2), play key roles in the post-transcriptional regulation of gene expression. Mechanistically, these proteins function by binding to the AU-rich elements within the 3′-untranslated regions of their target mRNAs and, in turn, increasing mRNA turnover. The TTP family RBPs are emerging as key regulators of multiple biological processes relevant to cancer and are aberrantly expressed in numerous human cancers. The TTP family RBPs have tumor-suppressive properties and are also associated with cancer prognosis, metastasis, and resistance to chemotherapy. Herein, we summarize the various hallmark molecular traits of cancers that are reported to be regulated by the TTP family RBPs. We emphasize the role of the TTP family RBPs in the regulation of trait-associated mRNA targets in relevant cancer types/cell lines. Finally, we highlight the potential of the TTP family RBPs as prognostic indicators and discuss the possibility of targeting these TTP family RBPs for therapeutic benefits.

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“…Therefore, appropriate management and therapies are necessary to achieve the best response to improve the prognosis and survival of patients. Notably, breast cancer cells have the potential to metastasize to distant organs such as the brain, lung, liver, and bone (Hoshino et al, 2015;Hurvitz et al, 2018;Park et al, 2018;Zhu et al, 2019). Cancer metastasis is a complex, multi-step process that is closely associated with cells' local invasion, blood and lymphatic diffusion, and extravasation and colonization at distant sites.…”

Section: Introductionmentioning

confidence: 99%

The Functional Role of Voltage-Gated Sodium Channel Nav1.5 in Metastatic Breast Cancer

Luo

et al. 2020

Front. Pharmacol.

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Voltage-gated sodium channels (VGSCs), which are abnormally expressed in various types of cancers such as breast cancer, prostate cancer, lung cancer, and cervical cancer, are involved in the metastatic process of invasion and migration. Nav1.5 is a poreforming a subunit of VGSC encoded by SCN5A. Various studies have demonstrated that Nav1.5, often as its neonatal splice form, is highly expressed in metastatic breast cancer cells. Abnormal activation and expression of Nav1.5 trigger a variety of cellular mechanisms, including changing H + efflux, promoting epithelial-to-mesenchymal transition (EMT) and the expression of cysteine cathepsin, to potentiate the metastasis and invasiveness of breast cancer cells in vitro and in vivo. Here, we systematically review the latest available data on the pro-metastatic effect of Nav1.5 and its underlying mechanisms in breast cancer. We summarize the factors affecting Nav1.5 expression in breast cancer cells, and discuss the potential of Nav1.5 blockers serving as candidates for breast cancer treatment.

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Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian Networks

Cited by 14 publications

References 52 publications

Probabilistic Graphical Model using Bayesian Networks for Predicting Clinical Outcome after Posterior Decompression in Patients with Cervical Spondylotic Myelopathy

Probabilistic Graphical Model using Bayesian Networks for Predicting Clinical Outcome after Posterior Decompression in Patients with Cervical Spondylotic Myelopathy

The Tristetraprolin Family of RNA-Binding Proteins in Cancer: Progress and Future Prospects

The Functional Role of Voltage-Gated Sodium Channel Nav1.5 in Metastatic Breast Cancer

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